J. Little. Proceedings of the first annual symposium on Computational geometry, page 15--23. New York, NY, USA, ACM, (1985)
DOI: 10.1145/323233.323236
Abstract
The Extended Gaussian Image (EGI) of an object records the variation of surface area with surface orientation. The EGI is a unique representation for convex objects. For a polyhedron, each face is represented by its normal and its area. The inversion problem (from an EGI to a description in terms of vertices and faces) is solved for convex polyhedra, by providing an algorithm giving an iterative solution by a minimizationLittle,1983. The algorithm employs a geometric construction, the mixed volume, which was used in Minkowski's proof 1897 of the existence and uniqueness of an inverse. The mixed volume measures similarity of shape for convex objects.
%0 Conference Paper
%1 Little:1985:EGI:323233.323236
%A Little, James J.
%B Proceedings of the first annual symposium on Computational geometry
%C New York, NY, USA
%D 1985
%I ACM
%K convex geometry volume
%P 15--23
%R 10.1145/323233.323236
%T Extended Gaussian images, mixed volumes, shape reconstruction
%X The Extended Gaussian Image (EGI) of an object records the variation of surface area with surface orientation. The EGI is a unique representation for convex objects. For a polyhedron, each face is represented by its normal and its area. The inversion problem (from an EGI to a description in terms of vertices and faces) is solved for convex polyhedra, by providing an algorithm giving an iterative solution by a minimizationLittle,1983. The algorithm employs a geometric construction, the mixed volume, which was used in Minkowski's proof 1897 of the existence and uniqueness of an inverse. The mixed volume measures similarity of shape for convex objects.
%@ 0-89791-163-6
@inproceedings{Little:1985:EGI:323233.323236,
abstract = {The Extended Gaussian Image (EGI) of an object records the variation of surface area with surface orientation. The EGI is a unique representation for convex objects. For a polyhedron, each face is represented by its normal and its area. The inversion problem (from an EGI to a description in terms of vertices and faces) is solved for convex polyhedra, by providing an algorithm giving an iterative solution by a minimization[Little,1983]. The algorithm employs a geometric construction, the mixed volume, which was used in Minkowski's proof [1897] of the existence and uniqueness of an inverse. The mixed volume measures similarity of shape for convex objects.},
acmid = {323236},
added-at = {2013-11-06T04:02:05.000+0100},
address = {New York, NY, USA},
author = {Little, James J.},
biburl = {https://www.bibsonomy.org/bibtex/24c2da8d60b6e93041b17ecf32d8e724c/ytyoun},
booktitle = {Proceedings of the first annual symposium on Computational geometry},
doi = {10.1145/323233.323236},
interhash = {ba4eca788d78f4c896cab7d12ee28129},
intrahash = {4c2da8d60b6e93041b17ecf32d8e724c},
isbn = {0-89791-163-6},
keywords = {convex geometry volume},
location = {Baltimore, Maryland, USA},
numpages = {9},
pages = {15--23},
publisher = {ACM},
series = {SCG '85},
timestamp = {2013-11-06T04:02:05.000+0100},
title = {Extended Gaussian images, mixed volumes, shape reconstruction},
year = 1985
}